Application of frequency division AVO in the gas-bearing analysis of reservoir in the Xu-2 Member of the Anyue gas field
SONG Chen1(), JIN Ji-Neng1(), PAN Ren-Fang1, ZHU Bo-Yuan1, YU Zhi-Hua2, TANG Xiao-Ling3
1. School of Earth Sciences,Yangtze University,Wuhan 430100,China 2. Research Institute of Petroleum Exploration and Development,Beijing 100007,China 3. Exploration and Development Research Institute of Huabei Oilfield,Renqiu 062552,China
The second member of the Xujiahe Formation (the Xu-2 Member) in the Anyue area of the Sichuan Basin enjoys abundant tight gas reserves.However,this member has complex geological characteristics,and conventional amplitude versus offset (AVO) analysis has relatively low precision in predicting the gas-bearing property of the reservoir in this member.Therefore,it is necessary to develop a more fine-scale seismic prediction method. Based on the analysis of single-well petrophysical characteristics and forward models,the AVO attributes of the dominant frequency range were selected through the frequency division AVO inversion based on wavelet transform.Then,these AVO attributes were fused to form the gas-bearing indicator,using which the distribution of favorable gas-enrichment zones in the Xu-2 Member of the Anyue area was predicted.The results are as follows:The gas zones in the Xu-2 Member primarily present class IV AVO anomalies;For the gas and water zones,their AVO responses in the dominant frequency range (35~45 Hz) differed significantly from those in the full frequency band,and their gas-bearing response characteristics were more pronounced in the dominant frequency range;The AVO attributes sensitive to the gas-bearing property included the difference in the S-wave velocity,the difference in Poisson's ratio, and the fluid factor.The gas-bearing indicator was obtained through the fusion of these AVO attributes,and the negative anomalies of the gas-bearing indicator were indicative of favorable gas-bearing zones;The seismic-log correlation shows that the AVO attributes in the dominant frequency range yielded positive gas-bearing prediction effects.The method proposed in this study is expected to provide technical support for unconventional oil and gas exploration.
宋晨, 金吉能, 潘仁芳, 朱博远, 喻志骅, 唐小玲. 分频AVO技术在安岳气田须二段储层含气性分析中的应用[J]. 物探与化探, 2023, 47(3): 681-689.
SONG Chen, JIN Ji-Neng, PAN Ren-Fang, ZHU Bo-Yuan, YU Zhi-Hua, TANG Xiao-Ling. Application of frequency division AVO in the gas-bearing analysis of reservoir in the Xu-2 Member of the Anyue gas field. Geophysical and Geochemical Exploration, 2023, 47(3): 681-689.
Xie J R, Zhang J, Li G H, et al. Exploration prospect and gas reservoir characteristics of Xujiahe Formation in Sichuan Basin[J]. Journal of Southwest Petroleum University:Science &Technology Edition, 2008, 30(6):40-44.
Hao G L, Liu G D, Xie Z Y, et al. Gas water distributed pattern in Xujiahe Formation tight gas sandstone reservoir and influential factor in central Sichuan Basin[J]. Natural Gas Geoscience, 2010, 21(3):427-434.
Tang Y, Wang L L, Cui Z H. An analysis of the gas source in the Upper Triassic Xujiahe Formation,central Sichuan Basin[J]. Geological Bulletin of China, 2011, 30(10):1608-1613.
Guo T L. Key controls on accumulation and high production of large non-marine gas fields in northern Sichuan Basin[J]. Petroleum Exploration and Development, 2013, 40(2):139-149.
doi: 10.1016/S1876-3804(13)60017-8
[5]
Yu Y, Lin L B, Zhai C B, et al. Impacts of lithologic characteristics and diagenesis on reservoir quality of the 4th member of the Upper Triassic Xujiahe Formation tight gas sandstones in the western Sichuan Basin,southwest China[J]. Marine and Petroleum Geology, 2019, 107:1-19.
doi: 10.1016/j.marpetgeo.2019.04.040
[6]
Zhao C J, Jiang Y L, Wang L J. Data-driven diagenetic facies classification and well-logging identification based on machine learning methods:A case study on Xujiahe tight sandstone in Sichuan Basin[J]. Journal of Petroleum Science and Engineering, 2022,217.
Zheng R C, Dai C C, Zhu R K, et al. Sequence based lithofacies and paleogeographic characteristics of Upper Triassic Xujahe Formation in Sichuan Basin[J]. Geological Review, 2009, 55(4):484-495.
Guan X, Jin J N, Yang W, et al. Lithologic gas reservoir characteristics and prediction of gas-bearing favorable zone ofthe Xujiahe Formation in central Sichuan Basin:Case study of the 2nd member of Xujiahe Formation in Anyue-Moxi areas[J]. Natural Gas Geoscience, 2022, 33(3):358-368.
[9]
Lu H Y, Cheng B J, Shen Z M, et al. Gas and water reservoir differentiation by time-frequency analysis:a case study in southwest China[J]. Acta Geodaetica et Geophysica, 2013, 48(4):439-450.
doi: 10.1007/s40328-013-0031-7
Zhang D M, Lin Z G, Zang D G, et al. Prediction and identification of gas-bearing gas-bearing properties of tight sandstone reservoirs through simultaneous pre-stack inversion:A case study of block S in Sulige gas field[J]. Geophysical and Geochemical Exploration, 2022, 46(3):645-652.
Gao J H, Chen W C, Li Y M, et al. Generalized S transform and seismic response analysis of thin interbeds[J]. Chinese Journal of Geophysics, 2003, 46(4):526-532.
doi: 10.1002/cjg2.v46.3
Lu S Q. Application of prestack frequency-division AVO analysis method in Luojia area[J]. Geophysical Prospecting for Petroleum, 2013, 52(2):151-156.
doi: 10.3969/j.issn.1000-1441.2013.02.006
Ning Y L, Han L G, Zhou Z Y, et al. Frequency-dependent AVO based on removing tuning effect via inverse spectral decomposition[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2012, 34(3):243-248.
Kong S S, Han Z J, Zhang D L, et al. The study and application of the method using frequency division amplitude to recognizing " bright spot" shallow gas layers[J]. Geophysical and Geochemical Exploration, 2019, 43(3):626-633.
Zuo G P, Fan G Z, Cai Z, et al. The application of seismic frequency decomposition AVO method in offshore deep-water sedimentary reservoirs hydrocarbon detection in the Bay of Bengal[J]. Natural Gas Geoscience, 2020, 31(4):567-577.
Jin J N, Pan R F, Zhou Y, et al. Predicting tight gas-bearing Sandstone reservoir of the 4th Xijiahe Formation in Jiannan area[J]. Science Technology and Engineering, 2015, 15(8):150-156.
Li X Y, Zhang J, Bao S H, et al. Analysis and countermeasures of seismic prediction traps for Xu-2 gas reservoir in central Sichuan Basin:a case study from Longnyusi block[J]. Lithologic Reservoirs, 2020, 32(1):120-127.
Wang W H, Jiang Z X, Pan R F. AVO cross plot analysis and its application[J]. Journal of Xi'an Petroleum Institute:Natural Science Edition, 2003, 18(2):5-8.
[20]
Li L, Cai H Y, Jiang Q T, et al. An empirical signal separation algorithm for multicomponent signals based on linear time-frequency analysis[J]. Mechanical Systems and Signal Processing, 2019, 121:791-809.
doi: 10.1016/j.ymssp.2018.11.037
Lu P f, Yang C C, Guo A H. The present research on frequency spectrum imaging technique[J]. Progress in Geophysics, 2007, 22(5):1517-1521.
[22]
Maciusowicz M, Psuj G. Analysis of the possibility of using various time-frequency transformation methods to Barkhausen noise characterization for the need of magnetic anisotropy evaluation in steels[J]. Applied Sciences, 2021, 11(13):6193.
doi: 10.3390/app11136193
Chen S, Ouyang Y L, Zeng Q C, et al. Application of matching pursuit wavelet decomposition and reconstruction technique to reservoir prediction and gas detection[J]. Lithologic Reservoirs, 2014, 26(6):111-114.
[24]
Morlet G, Fourgeau E, Giard D. Wave propagation and sampling theory partI:complex signal and scat-tering in multilayered media[J]. Geophysics, 1982, 47(2):203-221.
doi: 10.1190/1.1441328
[25]
Pandey V, Sain K. AVA analysis of BSR in fractured filled gas-hydrates reservoir in Krishna-Godavari Basin,India[J]. Journal of the Geological Society of India, 2022, 98:1253-1260.
doi: 10.1007/s12594-022-2160-5
Meng X J, Jiang X D, Huang H D, et al. Generalized non-linear P wave and S wave velocity inversion of prestack AVA[J]. Oil Geophysical Prospecting, 2004, 39(6):645-650.
Bao P N, Wang W H, Li W L, et al. CRP gather optimal processing and its application to S area of Daqing oilfield[J]. Geophysical and Geochemical Exploration, 2019, 43(5):1030-1037.
Guo G A, Guan X, Xiao F S, et al. Integrated seismic description technology for tight sandstone gas reservoir of Jurassic Shaximiao Formation in the central Sichuan Basin[J]. Natural Gas Industry, 2022, 42(1):40-50.
[29]
潘仁芳. AVO的内涵与外延[J]. 石油天然气学报, 2006, 28(2):50-55.
[29]
Pan R F. Intension and extension of AVO[J]. Journal of Oil and Gas Technology, 2006, 28(2):50-55.
[30]
Aki K, Riehards P G. Quantitative seismology:Theory and methods[M]. New York: Earthquake Press,1980.
[31]
Shuey R T. A simplification of the Zoeppritz equations[J]. Geophysics, 1985, 50(4):609-614.
doi: 10.1190/1.1441936
Ren L D, Wang P, Liu C F, et al. The application of pre-stack AVO inversion technology to the oil-bearing prediction of carbonate reservoirs in shunnan area[J]. Chinese Journal of Engineering Geophysics, 2018, 15(3):292-298.
Su J L, Qu D P, Chen C, et al. Comparison and analysis of pre stack seismic inversion methods:An example of Jiaoshiba shale gas reservoir exploration[J]. Oil Geophysical Prospecting, 2016, 51(3):581-588.